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Agricultural resources are important dynamic natural resources and a major contributor to Indian economic growth. Accurate crop condition assessment, acreage estimation and on time yield assessment helps in providing a crucial information about the crops and leads to proper management of agricultural resources. In long term perspective, it is related to national and global food security. With large...

In this letter, we propose a novel technique for obtaining scattering components from polarimetric synthetic aperture radar (PolSAR) data using the geodesic distance on the unit sphere. This geodesic distance is obtained between an elementary target and the observed Kennaugh matrix, and it is further utilized to compute a similarity measure between scattering mechanisms. The normalized similarity...

In this paper, the received compact polarimetry (CP) parameters are analyzed to infer ellipticity variations related to the transmission of a polarized electromagnetic wave. A generalized $2 \times 2$ CP covariance matrix is created as a function of the transmitting ellipticity and orientation angle. The Stokes parameters, backscattering coefficients, and the m-χ decomposition scattering powers are...

Change over the Himalayan terrain in the form of seasonal snow precipitation is an inevitable phenomenon. Mapping of snow cover in this region is a critical task, since meltwater emanating from the snowfields and glaciers serves as a source to several major Asian river systems. In this regard, a snow cover mapping technique is proposed in this letter by exploiting the ratio of the seasonal variation...

India is at the forefront in several areas of research related to Earth observation and remote sensing. Its space program has been in the news often in recent times, but other aspects of Indian research in geosciences and remote sensing remain relatively unknown to the international community of researchers in the field. It is the objective of this special issue of IEEE Journal of Selected Topics...

DC/AC microgrid is independent control grid form of integrate distributed energy systems with utility powers systems; will powerfully understand the value and profit of the distributed energy resources. In this paper, the AC/DC micro-grid mostly contains of six parts: a solar source (P V source), Wind source, a Boost converter, BESS, a Buck-Boost converter (bidirectional), and a bi-directional DC/AC...

Urban change detection is an important part of monitoring operations and disaster relief efforts. However, often sufficient ground truth data is not available to use traditional supervised machine learning techniques. In this paper, a novel Deep Learning based weakly-supervised framework for urban change detection using multi-temporal polarimetric SAR data is proposed. A modified unsupervised stacked...

Synthetic aperture radar (SAR) has shown promising results in characterizing different crops. Multi-temporal SAR data is often useful for studying the sensitivity of the electromagnetic (EM) waves to the structural and the dielectric variation of both crops and the underlying soil at different phenological stages. Physical information about crops and soil can be interpreted in terms of scattering...

Change detection in large urban areas is an application with increasing relevance. In this domain, Polarimetric SAR (PolSAR) sensors are receiving more attention recently. The enhanced polarimetric information provides useful features which can describe multi-temporal changes. In this work, we aim at introducing an approach for unsupervised change detection with focus on built-up areas that relies...

Monitoring of snow cover over large areal extent requires the use of remotely sensed satellite data. Conventional snow cover mapping algorithms using SAR data have seldom utilized target scattering information for land cover characterization. In this paper, an approach is proposed for snow cover mapping that utilizes the Touzi eigenvalue-eigenvector-based decomposition parameters viz., the scattering...

A novel technique to generate the difference image (DI) in change detection analysis for polarimetric SAR (PolSAR) data is proposed. Unlike the standard methods, viz., band difference or intensity/amplitude ratioing, the proposed technique utilizes the full vector nature of multitemporal PolSAR data. In this data, a pixel is characterized by a $4\times 4$ Kennaugh matrix. The geodesic distance (GD)...

Data-driven prospectivity modelling of greenfields terrains is challenging because very few deposits are available and the training data are overwhelmingly dominated by non-deposit samples. This could lead to biased estimates of model parameters. In the present study involving Random Forest (RF)-based gold prospectivity modelling of the Tanami region, a greenfields terrain in Western Australia, we...

In this paper we use a Deep Neural Network (DNN) trained on data collected from the visual media-sharing social platform Instagram account of a popular Indian lifestyle magazine to predict the popularity of future posts. This predicted popularity of the post can be used to decide advertising rates and measure performance metrics important for publishing strategy decisions. The DNN primarily uses growth...

A basic approach for grid connected DC/AC microgrid modeling using photovoltaic (PV) panels and Energy storage units accessible in this document. The system consists of a two stage power conversion. Solar PV supplies power for both DC and AC loads. Manufacturer datasheet is used for modeling the PV panel that could help to give a suitable way for the researchers to explore the PV generation issues...

Pulsed Electromagnetic Field is used to stimulate the human nervous system for several therapeutic purposes like pain relief and bone healing. These electrical stimulations are directly applied on the body through the cutaneous layer. Transcutaneous Electrical Nerve Stimulation (TENS) pain relief, a variant of PEMF is very popular in healthcare institutions all over the world. However, with growing...

Hand movement recognition from electromyogram (EMG) signals is a crucial element for design of electrically controlled limb prostheses and for developing human computer interfaces (HCIs). The study focuses on extraction of significant features from raw EMG signals corresponding to six different grasping hand movements and then using them to classify the respective hand movements using different classifiers...

A novel methodology is proposed in this paper for the estimation of snow surface dielectric constant from polarimetric SAR (PolSAR) data. The dominant scattering-type magnitude proposed by Touzi et al. is used to characterize scattering mechanism over the snowpack. Two methods have been used to obtain the optimized degree polarization of a partially polarized wave: 1) the Touzi optimum degree of...

Polarimetric synthetic aperture radar is expected to distinguish wet snow from bare ground. However, since both of them show surface scattering, which is sensitive to incidence angle, it often fails in the distinction in mountainous areas. In this letter, we propose an adaptive distinction method using quaternion neural networks. In the ALOS-2 data, we find a monotonic and nonlinear dependence of...

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